Malay Language Phishing and Legitimate Email Collection

A collection of phishing and legitimate email messages translated into Bahasa Melayu. The dataset is sourced from Kaggle and is intended for cybersecurity research. The author, organization, and specific size details are not provided.

Use Cases

• Train a text classifier to distinguish phishing emails from legitimate ones using the message content.
• Analyze linguistic patterns and keywords specific to phishing attempts in the Malay language.
• Benchmark the performance of Naive Bayes and other algorithms on a non-English email security task.
• Develop features for phishing detection based on the translated text of email bodies and subjects.

Strengths

• Focuses on a specific language (Bahasa Melayu), addressing a gap in non-English phishing resources.
• Contains labeled data for two classes: phishing and legitimate emails.

Limitations

• The exact number of rows, columns, and sample data are unknown, making reproducibility difficult.
• Potential for translation artifacts or inconsistencies in the email content.
• Lack of metadata (sender, date, headers) limits the feature space for model development.

Provenance

Source

Kaggle

Collection Method

Collection and translation of phishing and legitimate emails into Bahasa Melayu.